OCP Storage Solutions

Hyperscale Storage. Remanufactured. Ready to Deploy.

High-density, remanufactured OCP storage up to 11.5 PB per rack, with a fraction of the carbon footprint of new hardware. Enterprise-grade media. OCP-listed. Available globally.

Grand Canyon storage chassis with drive sleds, remanufactured by RackRenew

11.5 PB

Max storage per ORv2 rack

3

Product lines: SAS-3, SAS-4, NVMe

Up to 70%1

Cost reduction vs. new hardware

0 kg3

Embodied carbon on every remanufactured component

Why RackRenew

Remanufactured OCP Storage. No Compromises.

With an ever-increasing demand for efficient data storage capacity, RackRenew’s remanufactured storage offerings provide a unique balance between affordable, high-density storage and a low carbon footprint.

Available Products

RackRenew 2026 Storage Portfolio

Three product lines covering SAS high-density, next-gen SAS-4, and all-flash NVMe. All OCP ORv2 compliant, all managed via OpenBMC.

Available now · SAS-3 JBOD · High-Density HDD

Bryce Canyon

Hyperscale-designed high-density HDD storage: 72 drives per node in 4 Open Rack units, up to 11.5 PB per rack. Toolless design for rapid serviceability.

Max capacity / rack 11.5 PB SAS-3
Nodes per ORv2 rack 8 nodes
Drives per node 72 × 3.5″ SAS/SATA
Drive connectivity 12 Gb SAS / 6 Gb SATA
Front-end NIC 25 Gb / 50 Gb OCP mezzanine
Management OpenBMC
Configurations Single unit → Full ORv2 rack

Ideal for: Cold Storage | Data Lakes | Backup & Archive | JBOD / Hadoop

Q4 2026 · SAS-4 JBOD · Next-Gen HDD

Grand Canyon

Architectural upgrade to Bryce Canyon, fully hot-swappable top-service design with SAS-4 drives and dual compute modules per chassis.

Max capacity / rack 11.5 PB SAS-4
Nodes per ORv2 rack 8 nodes
Drives per node 72 × 3.5″ SAS-4
Compute modules Dual independent per chassis
NIC support OCP 3.0 NIC (SFF)
Serviceability Hot-swap, live operation
Management OpenBMC

Ideal for: Enterprise SAN/NAS | Disaster Recovery | Media Archives

Q4 2026 · NVMe JBOF · All-Flash

Lightning

First-generation NVMe JBOF delivering PCIe Gen 3 end-to-end connectivity. Purpose-built for AI data pipelines and latency-sensitive workloads.

Max capacity / rack 2.7 PB NVMe
Nodes per ORv2 rack 12 nodes
Drives per node 30 × u.2 NVMe
Interface PCIe Gen 3 end-to-end
SSD form factors 2.5″, M.2, 3.5″ NVMe
Head nodes supported Up to 4 per tray
Management OpenBMC (ASPEED AST2400)

Ideal for: Generative AI | LLM Training | Real-time Inference | AI Data Pipelines

Use Cases

Built for Every Storage Challenge

From petabyte-scale cold storage to sub-100ms AI inference, RackRenew storage solutions are configured for your specific workload requirements.

Enterprise Data Storage

SAN and NAS storage arrays for structured and unstructured data, backups and archiving. With RAID, snapshots, and replication for enterprise-grade data protection.

  • Easily add capacity without disrupting operations
  • Multi-server access with clustering and failover
  • Full compatibility with existing storage architectures

Data Lakes

Centralized repositories storing vast amounts of raw data, structured, semi-structured, or unstructured. Ready for analytics, ML training, and IoT data pipelines.

  • Big data analytics at petabyte scale
  • Machine learning training on diverse datasets
  • IoT, log data, and time-series storage

Research data lakes on a grant budget: read Petabyte Economics for Research & Education

Near-Line & Cold Storage

Cost-effective near-line or cold storage for data that doesn’t need instant availability but must remain retrievable. With tiered architectures that optimize cost across the lifecycle.

  • Backup, archiving, and compliance data
  • Disaster recovery with full dataset copies
  • Large media files: video, image, broadcast archives

Generative AI & LLM Pipelines

High-speed networks, memory architectures, and fast storage are as critical for cost-effective LLM training as the GPU clusters themselves. Storage is where AI performance is won or lost.

  • Slow storage (HDDs): GPUs at 20–30% utilization
  • Fast NVMe: GPUs at 80–90%, training 30–50% faster
  • Chatbot serving: <100ms latency with fast storage vs. 500ms on HDD

This first deployment in Italy is a strategic milestone for Qarnot. Made possible through our collaboration with A2A and RackRenew, it gives us the opportunity to address the Italian market’s growing needs for sovereign, energy-efficient cloud computing.

Paul Benoit, CEO and Co-founder, Qarnot

Compute / HPC reference deployment

Brescia’s data center revolution: turning waste heat into urban value

In A2A’s published account, full Phase 2 build out targets 3,500 tonnes of CO₂ avoided annually, recovered heat at 65°C serving about 1,350 apartments, and 16 GWh per year of thermal output. Phase 1, operating today, delivers roughly 800 MWh per year.

1,350

Apartments served with recovered heat (Phase 2 target, A2A)

3,500 t

CO₂ avoided per year (Phase 2 target, A2A)

16 GWh

Thermal output per year (Phase 2 target, A2A)

800 MWh

Thermal output per year, Phase 1 operating today

Explore More

Complete Your Infrastructure Stack

Storage is one piece of the puzzle. Pair it with RackRenew Compute or explore our partner ecosystem for end-to-end solutions.

Certifications

Standards you can audit

Sims Lifecycle Services production facilities: ISO 9001 · ISO 14001 · ISO 27001 · ISO 45001 · RackRenew: OCP Recognized Solution Provider since 2024 · OpenBMC · ORv2 Compliant

ISO 9001
ISO 14001
ISO 27001
ISO 45001
OCP Solution Provider

ISO certifications held by Sims Lifecycle Services at the production facilities. OCP recognition held by RackRenew.

Ready to Scale?

Deploy petabyte-scale storage faster than new hardware allows2

Whether you’re expanding an existing data center or building from scratch, RackRenew delivers the storage capacity, reliability, and sustainability your business demands. At a price point that makes the project viable.

1  Based on RackRenew like-for-like reference comparisons of remanufactured switch, compute node, and storage node configurations against the market price of equivalent new equipment, held on file by RackRenew. Where a comparison involves a model no longer sold new, RackRenew states that in the comparison.

2  Actual lead times depend on final customer configuration, component availability and destination. RackRenew does not guarantee delivery windows on this website.

3  RackRenew assigns the embodied carbon of a component to its first owner, who incurred the manufacturing emissions at original purchase. A component that enters a second service life through remanufacture is counted at zero embodied carbon for the second owner.